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SYSTEMS AND METHODS OF DETECTING EMAIL-BASED ATTACKS THROUGH MACHINE LEARNING

机译:通过机器学习检测基于电子邮件的攻击的系统和方法

摘要

A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
机译:一个系统,包括至少一个处理器;并且至少一个存储在其上存储计算机程序代码的存储器,当由至少一个处理器执行时,将至少一个处理器控制到:接收向用户寻址的电子邮件;将电子邮件分开到多个电子邮件组件中;使用各个机器学习技术进行分析,每个电子邮件组件中的每一个;将多个电子邮件组件中的每一个的分析馈送到堆叠的集合分析仪中;并基于堆叠的集合分析仪的输出,确定电子邮件是否恶意。

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